This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2453) Infodemiology and Infoveillance (1350) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1643) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1042) Quality/Credibility of eHealth Information and Trust Issues (531) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1518) Outbreak and Pandemic Preparedness and Management (1728)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26692, first published .
Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis

Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis

Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis

Authors of this article:

Ashwin Rao1 Author Orcid Image ;   Fred Morstatter1 Author Orcid Image ;   Minda Hu1 Author Orcid Image ;   Emily Chen1 Author Orcid Image ;   Keith Burghardt1 Author Orcid Image ;   Emilio Ferrara1 Author Orcid Image ;   Kristina Lerman1 Author Orcid Image
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